Matlab-basic-book

这个源码可以分析绘制多种信号的模糊函数，已经试验过巴克码，线性调频信号，脉冲信号等(Description: This program estimates and plots the ambiguity function for any signals. I have tested it for the Barker code, chirp signal, pulse signal. for good results the length of the input vector (Ut)should be more than 7. Example- a rectangular pulse should be described as[1 1 1 1 1 1 1]. Please, give your suggestions. it is made with the help of "xcorr" function (Author: R. Losada) in MATLAB and Ilia Iliev from TU-Sofia )

qpsk的matlab程序，描述了qpsk的仿真和理论的误码率误比特率(qpsk matlab program, qpsk simulation and theoretical description of the error rate, bit error rate)

matlab关于非线性规划的很好的一个源程序(matlab nonlinear programming good source)

是Matlab图像处理的原程序代码，适合初学者使用。 (Matlab image processing is the original code, suitable for beginners.)

elasticsearch-river-mongodb 源码,主要讲述elasticsearch 和 mongodb 同步索引实现。可以实现自己编译。(Elasticsearch-river-mongodb source code, including elasticsearch and mongodb synchronization index. Can be compiled.)

设计一维纳滤波器 (1). 产生三组观测数据：首先根据S(n)=aS(n-1)+w(n)产生信号S(n)，将其加噪声(信噪比分别为20db，10db，6db)，得到观测数据X1(n)，X2(n)，X3(n)。. (2). 估计Xi(n)，i=1，2，3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。(Design a Wiener filter (1) produces three sets of observations: First, according to S (n) = aS (n-1)+ w (n) generates the signal S (n), to add noise (SNR are 20db, 10db, 6db ), obtained observational data X1 (n), X2 (n), X3 (n). . (2) estimated Xi (n), i = 1,2,3 of the AR model parameters. Assuming the signal length L, AR model order N, the analysis of experimental results, and discuss the changes in L, N to the experimental results.)

介绍节约算法的文章，包括一个用MATLAB编写的程序和一个用c++编写的程序(cw vrp)

implimentation de histogram sous matalb

直流电机的双闭环仿真，实现点击的无静差调速功能(Double closed loop simulation of DC motor)

The program RANDOM_WALK_2D_PLOT plots the trajectories of one or more random walks. The program RANDOM_WALK_2D_SIMULATION plots averaged data for any number of random walks that each use the same number of steps. The data plotted is the average and maximum of the distance squared at each time step. The average distance squared should behave like the number of time steps.